G15 Flashcards

1
Q

what are CDCV

A

common diseases use to common variants

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2
Q

what are common variants

A

polymorphisms that occur at 1-5% in populations

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3
Q

what are the two hypotheses for common variants

A
  1. common diseases are due to common variants, several genes contribute, each polymorphism is of small effect - can be detected via association studies
  2. common diseases are due to rare alleles of large effect, - cant be detected via association studies
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4
Q

what is the more common correlation between effect size and allele frequency

A

more likley to get common variants with small effect sizes identified by GWAS
highly penetrant alleles for mendellian disorders are extremely rate with large effect sizes

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5
Q

what is the equation for linkage disequilibrium

A

D= PABPab - PAbPaB

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6
Q

How do you calculate the coefficient of disequilibirum

A

r^2 = D^2/ PAPaPBPb

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7
Q

what values can the coefficient of disequilbirum take

A

range from 0-1
0 = linkage equilibirum
1 = linkage disequilbirum

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8
Q

what do hotspots of recombination produce

A

blocks of LD in the genome - variation in each block is low

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9
Q

in theory how many SNPs do you need to analyze to determine if LD is complete

A

only 1 as if LD then should be same

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10
Q

what does local LD result in

A

SNPs being inherited in haplotype blocks

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11
Q

how are control groups selected in population based case/control studies

A
age matched
sex matched
ethnicity matched
environment matched 
- so differences in marker allele freq in patient population its due to genotypwe
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12
Q

how do you calculate reltative risk of disease

A

P(disease|exposed to allele) / P(disease| no exposed to allele)
can calculate each using a(a/b) and c/(c+d)
a is case exposed
b is control exposed
c = case unexposed
d = control unexposed

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13
Q

what does RR of 1-1.5 tell you

A

small effect

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14
Q

what does RR of >2 tell you

A

large effect

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15
Q

what does a manhattan plot show you

A

human chromosomes shown, with SNPs associated with disease highlighted.

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16
Q

what does manhattan plot of T2D and FTO fat mass and obesity associated genes show

A

clusters of SNPs located within first intron associated.
position 16q12
one FTO SNP has high associated with very low P value
The risk allele frequency was at a higher frequency in the case group.

17
Q

what did FTO studies in transgenic mice show

A

FTO deletion = lean
FTO dominant missense = lean
FTO over expression = increase fat mass, food intake and body weight
males 10% increase - females more

18
Q

what did risk allele A of an SNP at rsl9939609 show

A

associated with increased BMI in eypreans homos = 16% pop are at high risk compared to TT homos
AA = eat more, especially fats

19
Q

what are the issues with GWAS?

A

replication between studies isnt good
questionable clinical utility - hasnt got that dfar
`

20
Q

what did twn studies show about heritability for obestiy adn what did GWAS findings show

A

40-70%

GWAS found 75 vairants for obesity which explains 2-3% of the phenotypic variation - suggests CDCV doesnt hold.

21
Q

what is an eQTL

A

genetic loci that affect mRNA expression level of other genes, measured mRNA or protein trait is almost always the product of a single gene with a specific chromosomal location
uses GWAS qtl mappinh approach but maps expression of a particular gene against SNP markers

22
Q

what did eQTL studies for expression of FTO SNPs show

A

that SNPs associated with BMI are associated with IRX3 expression not FTO in human brain tissue.